000 03391nam a22005535i 4500
001 978-3-642-54080-6
003 DE-He213
005 20200421111658.0
007 cr nn 008mamaa
008 140220s2014 gw | s |||| 0|eng d
020 _a9783642540806
_9978-3-642-54080-6
024 7 _a10.1007/978-3-642-54080-6
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
245 1 0 _aSignal and Image Processing for Biometrics
_h[electronic resource] /
_cedited by Jacob Scharcanski, Hugo Proen�ca, Eliza Du.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aX, 331 p. 150 illus., 91 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Electrical Engineering,
_x1876-1100 ;
_v292
505 0 _aData and Information Dimensionality in Non-Cooperative Face Recognition -- Remote Identification of Faces -- Recognizing Altered Facial Appearances Due to Aging and Disguise -- Using Score Fusion for Improving the Performance of Multispectral Face Recognition -- Unconstrained ear processing -- Feature Quality-based Unconstrained Eye Recognition -- Speed-invariant Gait Recognition -- Quality Induced Multi classifier Fingerprint Verification using Extended Feature Set -- Quality Measures for Online Handwritten Signatures -- Human tracking in non-cooperative scenarios.
520 _aThis volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners. It is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field. The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.
650 0 _aEngineering.
650 0 _aBiometrics (Biology).
650 0 _aSystem safety.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aBiometrics.
650 2 4 _aSecurity Science and Technology.
700 1 _aScharcanski, Jacob.
_eeditor.
700 1 _aProen�ca, Hugo.
_eeditor.
700 1 _aDu, Eliza.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642540790
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1100 ;
_v292
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-54080-6
912 _aZDB-2-ENG
942 _cEBK
999 _c54816
_d54816